Connectionism emerged prominently in the 1980s, leveraging increased computing power to explore complex networks that excel in pattern recognition tasks. Unlike computationalism, which relies on specific representations for concepts, connectionism suggests that knowledge is distributed across nodes, making it neurologically plausible. This approach raises intriguing questions about how these abstract networks might correlate with actual brain functions, although the episode focuses more on the theoretical implications than on biological instantiation.
